soil_af | R Documentation |
Download chemical soil properties data for Africa for different soil depths. The spatial resolution is 30 arc-seconds (about 1 km2), aggregated from the original 250m resolution.
There are more recent estimations for some of the properties available in other data sets. See soil_af_isda
and soil_world
.
For more info, see https://www.isric.org/projects/soil-property-maps-africa-250-m-resolution
The data have a CC-BY 4.0 NC license
soil_af(var, depth, path, ...)
var |
character. Variables name such as "pH" or "clay". See Details |
depth |
numeric. One of |
path |
character. Path for storing the downloaded data. See |
... |
additional arguments passed to |
var | description | unit | |
clay | Soil texture fraction clay | % | |
sand | Soil texture fraction sand | % | |
silt | Soil texture fraction silt | % | |
coarse | Coarse fragments volumetric | % | |
SOC | Organic carbon | g kg-1 (‰) | |
BLKD | Bulk density (fine earth) | kg m-3 | |
poros | Porosity (volum. fraction) based on PTF | - | |
AWpF2.0 | Avail. soil water capacity (vol. frac.) for FC = pF 2.0 | - | |
AWpF2.3 | Avail. soil water capacity (vol. frac.) for FC = pF 2.3 | - | |
AWpF2.5 | Avail. soil water capacity (vol. frac.) for FC = pF 2.4 | - | |
AWpF4.2 | Avail. soil wat. cap. (vol. frac.) at wilting point (pF 4.2) | - | |
BDR | Depth to bedrock | cm | |
. | . | . | |
pH | pH (H2O) | - | |
ECN | Electrical conductivity | mS/m (?) | |
acid-exch | Exchangeable acidity | cmol(+) kg-1 | |
bases-exch | Sum of exchangeable bases | cmol(+) kg-1 | |
CEC | Cation Exchange Capacity | cmol(+) kg-1 | |
Al-extr | Extractable Aluminum (Mehlich 3) | mg kg-1 (ppm) | |
Al-exch | Exchangeable Aluminum | cmol(+) kg-1 | |
Ca-exch | Exchangeable Calcium | cmol(+) kg-1 | |
K-exch | Exchangeable Potassium | cmol(+) kg-1 | |
Mg-exch | Exchangeable Magnesium | cmol(+) kg-1 | |
Na-exch | Exchangeable Sodium | cmol(+) kg-1 | |
Ntot | Total nitrogen | g kg-1 | |
SpatRaster
Hengl T, Heuvelink GBM, Kempen B, Leenaars JGB, Walsh MG, Shepherd KD, et al. (2015) Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions. PLoS ONE 10(6): e0125814. doi:10.1371/journal.pone.0125814
soil_af_elements
, soil_af_isda
, soil_world_vsi
# downloads a large file
aph <- soil_af(var="ph", depth=5, path=tempdir())
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